FindTrial
Sign In

Kidney Failure Risk in Chronic Kidney Disease

Recalibration and Validation of the Kidney Failure Risk Equation in an Indian Chronic Kidney Disease Cohort - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/04/109101
Enrollment
10000
Registered
2026-04-22
Start date
Unknown
Completion date
Unknown
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: N189- Chronic kidney disease, unspecified

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

Translational AI for Networked Universal Healthcare
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Completion of a minimum of one kidney examination.

Exclusion criteria

Exclusion criteria: Subjects who have undergone kidney transplants and subjects who have undergone any surgery before a year of study.

Design outcomes

Primary

MeasureTime frame
to improve the accuracy, reliability, and clinical applicability of the Kidney Failure Risk Equation (KFRE) for predicting 2-year and 5-year kidney failure risk in Indian Chronic Kidney Disease (CKD) patients by recalibrating the model using Indian cohort data and validating its predictive performance.Timepoint: 5 years—

Secondary

MeasureTime frame
To validate the recalibrated KFRE using robust statistical metrics, including calibration plots, Brier Score, and discrimination measures such as C-indexTimepoint: 5 years—

Countries

India

Contacts

Public ContactProf Phaneendra K Yalavarthy

TRANSLATIONAL AI FOR NETWORKED UNIVERSAL HEALTHCARE FOUNDATION

phaneendra.yalavarthy@tanuh.ai08022934106

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Sep 19, 2026